MacPaw Launches Eney Assistant for Mac and iPhone

Oct 15, 2026
Eney works across apps, files and system functions to prepare tasks for users, with approval required before it makes changes.

MacPaw announced in a press release the launch of Eney, an AI assistant for Mac and iPhone. The assistant uses context from apps, files, calendars and system activity to prepare actions, then asks for approval before sending messages, changing events or moving files.

Eney connects with Apple Mail, Calendar and Reminders, as well as Gmail, Google Calendar, Google Drive, Slack, Notion, Jira and Linear. It can transcribe meetings, create notes and action items, draft invitations, translate selected text, convert currencies and time zones, and identify text within images. It also monitors disk space, memory pressure and app crashes.

The assistant uses Mnemos, MacPaw's memory layer, to retain and update user information. MacPaw says Mnemos only manages Eney's own memory and does not read or change files or other apps.

Eney is available for Mac through its website and for iPhone through the App Store. The Mac version requires macOS 15 or later and includes a 14 day trial with 10,000 AI credits.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

AI Brief AI Brief (X)
Free newsletter

Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.